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6. Data-driven product development with Ryan McCabe, Senior Data Scientist at Spotify, Stockholm

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Manage episode 290329933 series 2895967
Content provided by Alexandra Ebert (MOSTLY AI). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandra Ebert (MOSTLY AI) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Ryan is a Senior Data Scientist at Spotify with extensive experience in developing great
customer-centric products with the power of data. He is a data consultant and university
lecturer, passionate about data science and understanding the business side of things.
In this episode you will hear about:

  • How to start building data infrastructure in your organization, no matter the size.
  • How to embed data best practices in your team and how to get the most value out of data science.
  • Actionable advice on how to scale machine learning in your organization through making data accessible and automating data access processes.
  • Data protection is a true differentiator in today’s market. You don’t need to use
    personal data for data science and fake users are better than real ones for testing your
    ideas.
  continue reading

52 episodes

Artwork
iconShare
 
Manage episode 290329933 series 2895967
Content provided by Alexandra Ebert (MOSTLY AI). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandra Ebert (MOSTLY AI) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Ryan is a Senior Data Scientist at Spotify with extensive experience in developing great
customer-centric products with the power of data. He is a data consultant and university
lecturer, passionate about data science and understanding the business side of things.
In this episode you will hear about:

  • How to start building data infrastructure in your organization, no matter the size.
  • How to embed data best practices in your team and how to get the most value out of data science.
  • Actionable advice on how to scale machine learning in your organization through making data accessible and automating data access processes.
  • Data protection is a true differentiator in today’s market. You don’t need to use
    personal data for data science and fake users are better than real ones for testing your
    ideas.
  continue reading

52 episodes

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